Anomaly network intrusion detection system based on distributed time-delay neural network (DTDNN)

In this research,a hierarchical off-line anomaly network intrusion detection system based on distributed time-delay artificial neural network is introduced. this research aims to solve a hierarchical multi class problem in which the type of attack (dos,u2r,r2l and probe attack) detected by dynamic neural network. the results indicate that dynamic neural nets (distributed time-delay artificial neural network) can achieve a high detection rate,where the overall accuracy classification rate average is equal to 97.24%.© school of engineering,taylor?s university.